# import matplotlib.pyplot as plt
# score = [107,77,94,60,87,90,95,93,98,94,91,92,93,97,98,99,101,102,103,104,101,61,68,64,62,88,84,85,86,81,82,83,84,77]
# plt.rcParams['font.sans-serif']=['SimHei']
# plt.xlabel('分数')
# plt.ylabel('学生数量')
# plt.title('学生语文成绩分布直方图')
# plt.hist(score,bins=range(0,150,10),facecolor='red',edgecolor='black')
# plt.show()
# import numpy as np
# arrl = np.array([1,2,3])
# print('一维数组arrl:\n',arrl)
# arr2 = np.array((4.5,5.6,6.8),dtype='int32')
# print('一维数组arr2:\n',arr2)
# arr3 = np.array([[1,2,3],[4,5,6]],dtype='float32')
# print('2x3的二维数组arr3:\n',arr3)
# import numpy as np
# arr11 = np.array([1.1,2.2,3.2])
# print('一维数组arr11:\n',arr11)
# arr111 = np.array((-1,-2,-3),dtype='int32')
# print('一维数组arr111:\n',arr111)
# arr1111 = np.array([3,-2,2.3],dtype='float32')
# print('一维数组arr1111:\n',arr1111)
# import numpy as np
# arr1 = np.zeros(2)
# print('一维数组arr1:\n',arr1)
# arr2 = np.zeros((2,3))
# print('一维数组arr2:\n',arr2)
# arr3 = np.ones(3)
# print('一维数组arr3:\n',arr3)
# arr4 = np.ones((3,3))
# print('一维数组arr4:\n',arr4)
# arr5 = np.empty(4)
# print('一维数组arr5:\n',arr5)
# arr6 = np.empty((3,4),dtype='int')
# print('二维整形数组arr6:\n',arr6)
